{"uid":"cap_NsBik4iExcWvwjO42yygg","slug":"travel-administration-grouped-numeric-summary-iqr-outlier-flags-beb4055a","name":"Travel Administration — Grouped Numeric Summary + IQR Outlier Flags","description":"Travel administration — Grouped numeric summary + IQR outlier flags: Grouped numeric summary + IQR outlier flags for supplied travel administration records (trip_count, recorded_cost). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-operations-14-094?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","team_group","date","trip_count","recorded_cost"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"team_group":{"type":"string","default":"","maxLength":80},"trip_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"recorded_cost":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","team_group":"group-a","trip_count":10,"recorded_cost":1},{"date":"2026-10-02","row_id":"row-2","team_group":"group-b","trip_count":20,"recorded_cost":2},{"date":"2026-10-03","row_id":"row-3","team_group":"group-a","trip_count":15,"recorded_cost":3},{"date":"2026-10-04","row_id":"row-4","team_group":"group-b","trip_count":30,"recorded_cost":4}],"maxItems":200,"minItems":1},"field":{"enum":["trip_count","recorded_cost"],"type":"string","default":"trip_count"}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_Kb3C8NoiyLzKkrXRZnPGQ","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Computes grouped descriptive statistics and IQR-based outlier flags for travel administration records (trip_count or recorded_cost) across team groups, processing up to 200 rows with 2 independent analytical reports per call.","exampleAgentPrompt":"Can you analyze these travel records for my team groups — I have up to 150 rows with trip_count and recorded_cost per team — and give me a grouped numeric summary plus flag any outliers using the IQR method on the trip_count field?","exampleUseCases":[{"title":"Finance team travel cost audit","prompt":"I have 120 rows of travel expense records with team_group, date, trip_count, and recorded_cost columns. Can you group them and give me a numeric summary plus flag any recorded_cost outliers using IQR so I can spot unusual expenses?"},{"title":"HR department trip anomaly detection","prompt":"Here are 80 travel administration records across our regional teams. Run a grouped summary and IQR outlier detection on the trip_count field so I can see which groups had abnormally high or low trip volumes."},{"title":"Monthly travel reporting for operations","prompt":"I've got this month's travel data — about 200 rows tagged by team_group and date — and I need a grouped numeric breakdown plus any IQR-flagged outliers on recorded_cost to include in our operations report."}],"resultDescription":"Returns two independent analytical reports: (1) a grouped numeric summary with descriptive statistics (e.g. mean, median, quartiles, count) broken down by team_group for the selected field, and (2) IQR-based outlier flags identifying rows where the selected numeric field falls outside the interquartile range bounds. No external data is fetched; all analysis is performed on the supplied rows.","failureModes":["Fewer than 1 row supplied — minimum row count not met","More than 200 rows supplied — exceeds maximum row limit","Missing required fields (row_id, team_group, date, trip_count, recorded_cost) in any row","Invalid date format (must match YYYY-MM-DD pattern)","Invalid field enum value (must be 'trip_count' or 'recorded_cost')","All values null for the selected field — no numeric data to analyze","Numeric values outside allowed range (±1,000,000,000,000)"],"whenToPreferThis":"Choose this endpoint when you have travel administration records already in hand and need fast, local grouped descriptive statistics combined with IQR outlier detection — without any external lookups or predictions. It is ideal for batch analysis of up to 200 rows grouped by team, where you need both a summary report and anomaly flags in a single low-cost call ($0.01 USDC for 2 reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T19:11:10.941Z","isFirstParty":false,"canonicalSlug":"travel-administration-grouped-numeric-summary-iqr-outlier-flags-beb4055a"}